janus-validation 0.1.0

A Python library for robust data validation, serialization, and schema versioning.

Janus

Janus is a modern Python library for data validation, serialization, and schema versioning. It provides developers with a flexible, performant, and extensible toolkit to handle input validation, data transformation, and API schema compatibility with ease.

Click here for the documentation

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🚀 Key Features

• Robust Data Validation: Includes a comprehensive set of validators for strings, numbers, dates, collections, and more.
• Nested Schema Validation: Supports complex and deeply nested data structures.
• Schema Versioning: Seamlessly handle schema evolution and data migration between API versions.
• Serialization: Convert Python objects to JSON or YAML formats with error handling.
• Custom Validators: Easily extend Janus with custom validation rules.
• Open for Personal & Commercial Use: Use Janus freely in personal and commercial projects (not for resale as a standalone product).

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🛠️ How to Use Janus

Step 1: Install Janus

Install Janus via pip:

pip install janus-validation

Step 2: Validate Your First Data

Define a validation schema:

from janus.utils.validators import is_required, is_type, is_email
from janus.core.validator import SchemaValidator

schema = {
    "name": [is_required, is_type(str)],
    "email": [is_required, is_email],
    "age": [is_type(int)],
}

validator = SchemaValidator(schema)

data = {"name": "Alice", "email": "[e-mail]", "age": 30}
validated_data = validator.validate(data)
print("Validated Data:", validated_data)

Step 3: Use Schema Versioning

Manage schema evolution with ease:

from janus.core.schema_versioning import SchemaVersioning

versioning = SchemaVersioning()

# Register schemas
versioning.register_schema("v1", {"name": [is_required]})
versioning.register_schema("v2", {"name": [is_required], "email": [is_email]})

# Validate data with specific schema versions
data = {"name": "Alice", "email": "[e-mail]"}
validated = versioning.validate_with_version("v2", data)
print("Validated:", validated)

Step 4: Serialize Data

Convert Python objects to JSON or YAML:

from janus.core.serializer import JSONSerializer, YAMLSerializer

serializer = JSONSerializer()
json_data = serializer.serialize({"name": "Alice", "age": 30})
print("Serialized JSON:", json_data)

yaml_serializer = YAMLSerializer()
yaml_data = yaml_serializer.serialize({"name": "Alice", "age": 30})
print("Serialized YAML:", yaml_data)

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🔍 Project Status

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📜 License and Usage

Janus is free to use for both personal and commercial projects. However, Janus itself cannot be resold or distributed as a standalone product.

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🤝 Contributors

Developed and maintained by Altxria Inc. with contributions from a growing community of passionate developers.

See All Contributors

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❤️ Support Janus

If you find Janus useful, consider sponsoring us to support ongoing development and new features!